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Practical AI

Machine Learning Fundamentals: This is a cornerstone of modern AI.

Supprabha Nambiar · October 18, 2026

Machine Learning allows systems to learn from data to make predictions or decisions without explicit programming. It encompasses Supervised Learning (predicting continuous values with Regression or categories with Classification from labeled data), Unsupervised Learning (finding patterns in unlabeled data), and Reinforcement Learning (learning through trial and error).

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Practical AI

From AI Assistants to AI Agents: The Rise of the Autonomous Enterprise

NIDHI GUPTA · October 12, 2026

Artificial Intelligence is entering a new phase. Traditional Generative AI mainly answered questions, created content, and helped humans make decisions. Agentic AI goes one step further—it can understand a goal, create a plan, use tools, interact with business systems, execute tasks, and learn from the results. In 2026, organizations are increasingly moving from AI experiments to production use cases. The biggest challenge is no longer simply building powerful AI models. It is creating the right combination of data, context, security, governance, identity, human oversight, and cost controls. The future may not be about humans being replaced by AI, but about humans working alongside digital AI coworkers.

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Practical AI

When AI Becomes the Target: Understanding AI Security and Prompt Injection

NIDHI GUPTA · October 11, 2026

As artificial intelligence becomes integrated into business applications, customer support, software development, and everyday work, it is also becoming a target for cyberattacks. One emerging threat is prompt injection, in which malicious instructions are designed to manipulate an AI system into ignoring its intended rules, revealing sensitive information, or performing unauthorized actions. Unlike traditional cyberattacks that target software vulnerabilities, prompt injection exploits how AI systems interpret instructions and process untrusted content. This article explores how prompt injection works, real-world risk scenarios, and practical security measures organizations can use to protect AI systems, data, and users.

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AI Agents

AI Is Becoming Your Everyday Thinking Partner

NIDHI GUPTA · October 7, 2026

Artificial Intelligence is moving beyond being a technology used only by experts. Today, AI can act as a personal thinking partner—helping us learn faster, organize ideas, solve problems, create content, and make better decisions. The real opportunity is not to compete with AI, but to learn how to work with it effectively.

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Practical AI

Artificial Intelligence (AI) – Transforming the Way We Live, Work and Innovate

NIDHI GUPTA · October 7, 2026

Artificial Intelligence (AI) is transforming the modern world by enabling machines to learn from data, understand information, automate tasks and assist in decision-making. From personalised education and healthcare to banking, cybersecurity and business management, AI is creating new opportunities across industries. With the emergence of Generative AI, machine learning and AI agents, technology is moving beyond simple automation towards systems that can support complex workflows and problem-solving. However, this progress also brings challenges related to data privacy, cybersecurity, ethical use and the changing nature of jobs. This article explores how AI works, its major technologies, real-world applications, benefits, risks and the importance of responsible AI adoption in building a smarter future.

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AI Agents

Artificial Intelligence (AI) – Not Just a Technology, But a New Way of Thinking

NIDHI GUPTA · September 29, 2026

Artificial Intelligence (AI) is transforming the way we live, work, learn and solve problems. It enables machines and software to learn from data, recognise patterns, make predictions and perform tasks that traditionally require human intelligence. From virtual assistants and personalised education to healthcare, banking and project management, AI is becoming an important part of everyday life. This article explores how AI works, its different types, real-world applications, benefits, challenges and its potential to shape the future.

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Deep Learning

Neuroscience

Shivani Khandelwal · September 20, 2026

How neural networks are mapped to our brain functioning.

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Data & AI

From Marketing to AI: My Journey from Presenting insights to Creating them

Megha Poojary · September 18, 2026

This article is a personal reflection on my journey from marketing into the world of data and AI. I share how my experience in presenting insights, working with clients and supporting business decisions sparked a curiosity to understand how those insights are actually created. From learning Python, SQL and analytics to exploring machine learning and AI, this article reflects on the challenges of learning something new, the value of combining business experience with technical skills, and why changing direction doesn’t always mean leaving your previous experience behind.

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AI Agents

How AI is transforming project management

NIDHI GUPTA · September 11, 2026

Artificial Intelligence is transforming project management by helping teams automate repetitive tasks, make faster data-driven decisions, identify risks earlier, and improve collaboration. AI can assist project managers with planning, scheduling, resource allocation, meeting summaries, status reporting, and predictive analysis. Instead of replacing project managers, AI acts as a powerful assistant that handles routine work and provides insights, allowing managers to focus more on strategy, stakeholder management, problem-solving, and leadership. The future of project management will increasingly combine human judgment and leadership with AI-powered automation and analytics. Organizations that adopt AI responsibly can improve productivity, reduce risks, and deliver projects more efficiently.

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